@ARTICLE{Rodriguez-Sotelo2017444,
author={Rodríguez-Sotelo, J.L. and Osorio-Forero, A. and Jiménez-Rodríguez, A. and Restrepo-De-Mejía, F. and Peluffo-Ordoñez, D.H. and Serrano, J.},
title={Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2017},
volume={10337 LNCS},
pages={444-455},
doi={10.1007/978-3-319-59740-9_44},
note={cited By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027059210&doi=10.1007%2f978-3-319-59740-9_44&partnerID=40&md5=b255cb56a8a67a7c9b8069bde4280e53},
document_type={Conference Paper},
source={Scopus},
}

{"_id":"4BqwLyshLgoPv5Xxb","bibbaseid":"rodrguezsotelo-osorioforero-jimnezrodrguez-restrepodemeja-peluffoordoez-serrano-sleepstagesclusteringusingtimeandspectralfeaturesofeegsignalsanunsupervisedapproach-2017","authorIDs":[],"author_short":["Rodríguez-Sotelo, J.","Osorio-Forero, A.","Jiménez-Rodríguez, A.","Restrepo-De-Mejía, F.","Peluffo-Ordoñez, D.","Serrano, J."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Rodríguez-Sotelo"],"firstnames":["J.L."],"suffixes":[]},{"propositions":[],"lastnames":["Osorio-Forero"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Jiménez-Rodríguez"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Restrepo-De-Mejía"],"firstnames":["F."],"suffixes":[]},{"propositions":[],"lastnames":["Peluffo-Ordoñez"],"firstnames":["D.H."],"suffixes":[]},{"propositions":[],"lastnames":["Serrano"],"firstnames":["J."],"suffixes":[]}],"title":"Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach","journal":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","year":"2017","volume":"10337 LNCS","pages":"444-455","doi":"10.1007/978-3-319-59740-9_44","note":"cited By 0","url":"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027059210&doi=10.1007%2f978-3-319-59740-9_44&partnerID=40&md5=b255cb56a8a67a7c9b8069bde4280e53","document_type":"Conference Paper","source":"Scopus","bibtex":"@ARTICLE{Rodriguez-Sotelo2017444,\r\nauthor={Rodríguez-Sotelo, J.L. and Osorio-Forero, A. and Jiménez-Rodríguez, A. and Restrepo-De-Mejía, F. and Peluffo-Ordoñez, D.H. and Serrano, J.},\r\ntitle={Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach},\r\njournal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},\r\nyear={2017},\r\nvolume={10337 LNCS},\r\npages={444-455},\r\ndoi={10.1007/978-3-319-59740-9_44},\r\nnote={cited By 0},\r\nurl={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027059210&doi=10.1007%2f978-3-319-59740-9_44&partnerID=40&md5=b255cb56a8a67a7c9b8069bde4280e53},\r\ndocument_type={Conference Paper},\r\nsource={Scopus},\r\n}\r\n\r\n","author_short":["Rodríguez-Sotelo, J.","Osorio-Forero, A.","Jiménez-Rodríguez, A.","Restrepo-De-Mejía, F.","Peluffo-Ordoñez, D.","Serrano, J."],"key":"Rodriguez-Sotelo2017444","id":"Rodriguez-Sotelo2017444","bibbaseid":"rodrguezsotelo-osorioforero-jimnezrodrguez-restrepodemeja-peluffoordoez-serrano-sleepstagesclusteringusingtimeandspectralfeaturesofeegsignalsanunsupervisedapproach-2017","role":"author","urls":{"Paper":"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027059210&doi=10.1007%2f978-3-319-59740-9_44&partnerID=40&md5=b255cb56a8a67a7c9b8069bde4280e53"},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"article","biburl":"http://www.diegopeluffo.com/fullbib.bib","creationDate":"2020-04-01T06:16:23.389Z","downloads":0,"keywords":[],"search_terms":["sleep","stages","clustering","using","time","spectral","features","eeg","signals","unsupervised","approach","rodríguez-sotelo","osorio-forero","jiménez-rodríguez","restrepo-de-mejía","peluffo-ordoñez","serrano"],"title":"Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach","year":2017,"dataSources":["ntXyXv2964fDt3myF"]}